EY - GDS Consulting - AIA - Agentic AI - Senior Manager

The opportunity

EY GDS is seeking a highly motivated, results-driven, and quality-focused Agentic AI & Generative AI Senior Manager to join our AI team. The ideal candidate will have deep experience in the Banking domain and a proven track record of architecting, leading, and scaling enterprise AI transformation programs. As an Agentic AI & Gen AI Senior Manager, you will be responsible for shaping AI strategy, solution architecture, governance, and delivery of advanced AI solutions across banking. You will lead the adoption of next-generation Agentic AI frameworks, autonomous AI agents, AI orchestration patterns, Responsible AI, AI Governance, and Generative AI technologies, enabling intelligent automation, enhanced decision-making, regulatory alignment, and business transformation for clients. The role requires deep banking domain expertise, AI architecture leadership, strong Azure ecosystem knowledge, stakeholder management, and a passion for delivering impactful, secure, scalable, and responsible AI solutions.

Your key responsibilities

• Lead enterprise strategy, architecture, and implementation of Agentic AI, Generative AI, Responsible AI, AI Governance, and advanced analytics solutions for Banking clients.
• Act as a Senior Manager, AI architect, and thought leader with strong business acumen, translating executive priorities and business requirements into scalable AI architectures and transformation roadmaps.
• Drive adoption of autonomous AI agents, multi-agent systems, agent orchestration frameworks, AI copilots, RAG / Agentic RAG solutions, and cloud-native GenAI platforms across banking processes.
• Partner with senior client stakeholders, architects, data scientists, AI engineers, product leaders, risk and compliance teams to identify, prioritize, and deliver high-value AI use cases.
• Own design authority for LLM-powered applications, enterprise AI agents, model evaluation, observability, LLMOps, AI security, Responsible AI controls, AI governance, and production deployment patterns.
• Develop Agentic AI and GenAI solutions for customer servicing, relationship management, lending, credit risk, fraud detection, KYC/AML, compliance monitoring, wealth advisory, investment research, portfolio intelligence, and operations transformation.
• Establish AI governance frameworks covering responsible AI principles, model risk management, explainability, fairness, privacy, security, auditability, regulatory compliance, and human-in-the-loop controls.
• Lead business development activities including client engagements, solution workshops, architecture reviews, proposal creation, RFP responses, executive presentations, and AI transformation roadmaps.
• Create reusable accelerators, reference architectures, delivery playbooks, and best-practice assets across Azure AI services, Agentic AI frameworks, and enterprise AI platforms.
• Stay current with advancements in Agentic AI, AI orchestration, LLMs, RAG, model evaluation, AI governance, autonomous workflows, Responsible AI, Azure AI ecosystem, and emerging cloud AI capabilities.
• Present business outcomes, technical architecture, risk considerations, insights, and recommendations to senior client stakeholders and leadership teams in a clear and impactful manner.
• Lead and manage multidisciplinary teams of AI architects, GenAI specialists, data scientists, engineers, and consultants, providing strategic direction and delivery oversight.
• Provide thought leadership on enterprise AI architecture, Agentic AI adoption, Responsible AI, AI Governance, cloud AI modernization, and GenAI operating models for Banking.
• Mentor and coach managers, junior architects, analysts, and developers, fostering technical excellence, innovation, engineering discipline, and responsible AI delivery practices.

Skills and Attributes:

Professional Experience

• 15+ years of experience in Artificial Intelligence, Generative AI, Agentic AI, Advanced Analytics, AI architecture, and enterprise technology transformation, with a strong record of designing, building, governing, and scaling production AI solutions.
• At least 7+ years of experience leading AI-driven transformation programs within the Banking industry.
• Proven experience as an AI leader / AI architect, managing large-scale programs, cross-functional teams, solution architecture, client delivery, governance, and executive stakeholder engagement.
• Extensive experience identifying, designing, and implementing high-value AI use cases across retail banking, commercial banking, investment banking, wealth management, risk, compliance, fraud, operations, and customer experience domains.

      Educational Background

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Engineering, Mathematics, Statistics, or a related quantitative field.
• Advanced certifications in Azure AI, Generative AI, Machine Learning, Solution Architecture, Cloud Technologies, Responsible AI, AI Governance, or Agentic AI platforms are preferred.

Technical Skills

• Agentic AI & Generative AI
• Expertise in Agentic AI, multi-agent systems, autonomous workflows, AI orchestration, RAG, Graph RAG, Agentic RAG, LLM fine-tuning, prompt engineering, AI governance, Responsible AI, knowledge graphs, AI copilots, and enterprise-scale LLM solutions.

• Microsoft Azure AI Ecosystem (Mandatory)
• Strong hands-on experience with Azure OpenAI, Azure AI Foundry, Azure AI Services, AI Search, Azure ML, Azure Databricks, AKS, Azure Functions, Azure Synapse, Data Factory, Microsoft Fabric, Azure DevOps, and cloud-native Azure architectures for enterprise AI solutions.

• Agentic AI Frameworks
• Experience building, orchestrating, deploying, governing, and monitoring AI agents and multi-agent systems using Microsoft Agent Framework, LangGraph, LangChain, CrewAI, and related orchestration platforms.

• AI Architecture, Responsible AI & Governance
• Strong knowledge of enterprise AI architecture, AI governance operating models, Responsible AI frameworks, model risk management, explainability, fairness, privacy, security, compliance, auditability, and human-in-the-loop review patterns.

• AI/ML & Data Science
• Strong expertise in Machine Learning, Deep Learning, NLP, Generative AI, Predictive Analytics, Computer Vision, Recommendation Systems, Time Series Forecasting, Statistical Modeling, model evaluation, and observability.

• Banking Expertise
• Deep understanding of Banking processes including lending, credit risk, KYC/AML, fraud detection, compliance, customer onboarding, wealth advisory, portfolio analysis, investment research, operations transformation, and risk management.

• Programming & Cloud
• Strong proficiency in Python, SQL, PyTorch, and TensorFlow, with mandatory depth in Microsoft Azure and working knowledge of other cloud platforms such as AWS Bedrock and GCP Vertex AI.

• Software Engineering & AI Operations
• Experience with API development, microservices, CI/CD pipelines, Git, Agile methodologies, DevSecOps, ModelOps/MLOps, LLMOps, AI observability, and enterprise AI deployment frameworks.
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